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Rationality transforming in the digital age 理性在数字时代的转变
IF 4.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.18254/s207751800019817-7
N. Ravochkin
The article discusses the features of the transformation of rationality in the realities of the digital age. The nature of three variants of rationality is presented - classical, non-classical and post-non-classical. The understanding is substantiated, the essential features are shown, and the author's definition of the rationality of the digital era is proposed. The complex impact of megatrends on the understanding of the world by actors and its subsequent transformations is highlighted. The contextual and situational elements are identified as the leading characteristics of the new rationality. Emphasis is placed on the impossibility of replicating "once" effective mental constructs, which inevitably implies the adaptation of the ideas of social transformations to new realities and current parameters. The authors demonstrated the transition of rationality of the digital age from the field of theory to applied purpose. The expediency of using the principles of the network approach by various actors is emphasized. A high degree of influence of media and other advanced technologies is noted. Based on practical examples from the political sphere of public life, the vectors of transformation of rationality in the realities of the digital world are determined: «visuality», «hedonism», «pragmatism». In conclusion, generalizations are given that constitute the theoretical and methodological basis.
本文论述了数字时代现实中理性转换的特征。提出了理性的三种变体的本质——古典、非古典和后非古典。论证了这一认识,揭示了其本质特征,提出了作者对数字时代合理性的定义。本书强调了大趋势对行动者对世界的理解及其随后的变革的复杂影响。语境因素和情境因素被认为是新理性的主要特征。重点是不可能复制“曾经”有效的心理结构,这不可避免地意味着使社会变革的思想适应新的现实和当前的参数。作者论证了数字时代的理性从理论领域到应用目的的转变。强调了各种行为者使用网络方法原则的便利性。注意到媒体和其他先进技术的高度影响。基于公共生活的政治领域的实际例子,确定了数字世界现实中理性转化的向量:“视觉性”、“享乐主义”、“实用主义”。最后,给出了构成理论和方法基础的概括。
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引用次数: 0
Model of a Blockchain-based Social Contact Tracking system in Metropolitan Subway systems: an evaluation 大都市地铁系统中基于区块链的社会接触跟踪系统模型:评估
IF 4.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.18254/s207751800022481-8
I. Tarkhanov
Public transportation is the primary source of COVID-19 spread in metropolitan areas. This paper discusses the conceptual model of a COVID-19 social contact tracing system in the subway, based on an exclusive blockchain (DLT). The architecture of the main components of the system is considered in detail: an algorithm of contact recording, infection notifications and risk analysis, the process of publishing information about an infected person in the network.   To check the adequacy of the model, we propose to use the previously proposed method to simulate the peak load. Proof-of-stake is based on real-life peak load data in the Moscow and New York subways. This calculation shows the applicability of this method for the largest metropolitan areas of the world, substantiates the technical characteristics of blockchain network nodes.
公共交通是大都市地区COVID-19传播的主要来源。本文讨论了基于区块链(DLT)的地铁新型冠状病毒社会接触者追踪系统的概念模型。详细介绍了系统主要组成部分的体系结构:接触记录算法、感染通报与风险分析算法、感染者信息在网络上发布过程。为了检验模型的充分性,我们建议使用之前提出的方法来模拟峰值负荷。权益证明基于莫斯科和纽约地铁的真实高峰负荷数据。这一计算表明了该方法对世界上最大的大都市地区的适用性,证实了区块链网络节点的技术特征。
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引用次数: 0
IV International Conference "Artificial Societies and Information Technologies" 第四届“人工社会与信息技术”国际会议
IF 4.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.18254/s207751800023028-9
T. Konkova
On September 27, 2022, IV International Conference "Artificial Societies and Information Technologies" was held on the basis of the Central Economics and Mathematics Institute of the Russian Academy of Sciences. And on September 28 a round-table  discussion "Supercomputer Technologies and Artificial Societies" was held
2022年9月27日,在俄罗斯科学院中央经济与数学研究所的基础上召开了第四届“人工社会与信息技术”国际会议。9月28日举行了“超级计算机技术与人工社会”圆桌讨论会
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引用次数: 0
Formation of a mathematical model for predicting the number of applicants entering universities in the Kemerovo region 形成预测克麦罗沃地区大学入学人数的数学模型
IF 4.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.18254/s207751800019818-8
T. Bobko
The article is devoted to the study of the influence of regional macroeconomic indicators on the number of applicants for training in higher education programs in the universities of Kuzbass. The previous studies carried out by the authors served as the basis for the development of a model that allows obtaining an advanced estimate of the number of applicants for admission to regional universities [4]. The results obtained in [3] made it possible to quantitatively determine the relationship between the number of students in higher education programs and the gross regional product (GRP) of the Kemerovo region, as well as to draw a conclusion about the influence of regional macroeconomic indicators on the choice of education level by graduates. On the basis of the constructed model, the forecast of the number of students in HE programs in the universities of the Kemerovo region for one period ahead was carried out with a relative forecasting error of 2.45%.
本文致力于研究区域宏观经济指标对库兹巴斯大学高等教育项目培训申请人数的影响。作者之前进行的研究为开发一个模型提供了基础,该模型可以提前估计地区大学的入学申请人数[4]。[3]的结果可以定量确定克麦罗沃地区高等教育项目学生人数与地区生产总值(gross regional product, GRP)之间的关系,并得出区域宏观经济指标对毕业生教育水平选择的影响结论。在此基础上,对克麦罗沃地区高校未来一段时间的高等教育学生数量进行了预测,相对预测误差为2.45%。
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引用次数: 0
International comparisons of China's digital infrastructure development 中国数字基础设施发展的国际比较
IF 4.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.18254/s207751800022861-6
Zhongyao Liu
With the advent of the era of the digital economy, the role of digital infrastructure is becoming increasingly prominent. Digital infrastructure will accelerate the digital transformation of traditional industries, will contribute to the development and prosperity of many new industries, new formats and new models of the digital economy. The world's major economies have invested heavily in new areas of infrastructure to reap huge economic returns. Under the "Digital China" development strategy, the scale of China's digital infrastructure is expanding rapidly and in many areas occupies a significant share of the world. The article discusses the concept and classification of digital infrastructure. Compared with other countries in the world, the development status and existing problems of China's digital infrastructure are analyzed, and relevant proposals are put forward for the development of China's digital infrastructure.
随着数字经济时代的到来,数字基础设施的作用日益凸显。数字基础设施将加速传统产业的数字化转型,促进数字经济新产业、新业态、新模式的发展和繁荣。世界主要经济体在新的基础设施领域投入了大量资金,以获得巨大的经济回报。在“数字中国”发展战略下,中国的数字基础设施规模迅速扩大,在许多领域占据世界重要份额。本文讨论了数字基础设施的概念和分类。与世界其他国家相比,分析了中国数字基础设施的发展现状和存在的问题,并对中国数字基础设施的发展提出了相关建议。
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引用次数: 0
National Strategy for the development of Artificial Intelligence In the context of the global digital economy 全球数字经济背景下的国家人工智能发展战略
IF 4.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.18254/s207751800020634-6
Allen Gao
In the era of the digital economy, from the point of view of national economic development, artificial intelligence (AI) technologies in the next decade will be the main driver for the development of the national economy and will create unique advantages for countries in the global division of labor. Countries, including the US, China, Russia and others, are actively developing AI and applying it to e-government, corporate decision-making, industrial production and other areas. The development of AI significantly contributes to the process of digital transformation of governments and enterprises. Major countries in the world are publishing national AI development strategies to promote the digital transformation of society. This article compares AI development strategies in the US, EU, Russia, UK and China, and provides suggestions for optimizing national AI development strategies for developing countries in order to strengthen national cybersecurity and improve people's living standards.
在数字经济时代,从国民经济发展的角度来看,未来十年人工智能(AI)技术将是国民经济发展的主要驱动力,并将为各国在全球分工中创造独特的优势。包括美国、中国、俄罗斯等国家都在积极发展人工智能,并将其应用于电子政务、企业决策、工业生产等领域。人工智能的发展为政府和企业的数字化转型进程做出了重要贡献。世界主要国家纷纷发布国家人工智能发展战略,推动社会数字化转型。本文比较了美国、欧盟、俄罗斯、英国和中国的人工智能发展战略,为发展中国家优化国家人工智能发展战略提供建议,以加强国家网络安全,提高人民生活水平。
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引用次数: 0
Supercomputers in the fight against the Coronavirus threat 超级计算机在抗击冠状病毒威胁中的作用
IF 4.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.18254/s207751800020672-8
A. Ageeva
HPC is currently driving positive change in the information society. Supercomputer technologies are in great demand in the fight against epidemiological threats, including COVID-19. The article analyzes the use of supercomputer technologies in research projects implemented on the most powerful high-performance systems (supercomputers) topping the TOP500 rating. The considered examples of innovative projects, some of which were awarded the Gordon Bell Prize, demonstrate the capabilities of modern computing science in the paradigm of ensuring the sustainable development of the information society and confronting global crises. Significant events of the current stage of confronting the pandemic threat are revealed: achievements and tasks that need to be addressed in order to successfully overcome the crisis and minimize the consequences of an unfavorable epidemiological situation. The necessity of forming and implementing the concept of the National Strategic Computing Reserve is substantiated.
高性能计算目前正在推动信息社会的积极变化。在应对包括COVID-19在内的流行病学威胁方面,超级计算机技术需求量很大。本文分析了超级计算机技术在TOP500排名中最强大的高性能系统(超级计算机)上实施的研究项目中的使用情况。这些获颁“戈登贝尔奖”的创新项目展示了现代计算科学在确保资讯社会可持续发展和应对全球危机方面的能力。报告揭示了当前阶段应对大流行病威胁的重大事件:为成功地克服危机和尽量减少不利的流行病局势的后果而需要完成的成就和任务。论证了国家战略计算储备概念形成和实施的必要性。
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引用次数: 0
Prototype of Simulation model of Socio-epidemiological and economic consequences on the example of Russian Federation subjects 社会流行病学和经济后果模拟模型的原型,以俄罗斯联邦主体为例
IF 4.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.18254/s207751800023683-0
Dmitry S. Evdokimov
Processes associated with extraordinary events that are difficult to control and evaluate, as a rule, are built on patterns of past events or historical analogues, but the spread of coronavirus infection is a kind of unique phenomenon that has affected all spheres of life of states and the world as a whole. This article is a continuation of a study related to the assessment of the socio-epidemiological and economic consequences that led to the spread of COVID-19. Previously, the architecture of the model was created taking into account world practices for building such blocks for simulation models. The prototype combines three fully functional blocks. At this stage of the study, a prototype model was formed, which takes into account demographic, epidemiological and economic processes that are closely related to each other. The simulation has been running continuously since 2018 and covers three chronological periods - before the pandemic, during the pandemic and the forecast period. The experiment ends in 2025, after which a set of statistical indicators is produced for the three aligned blocks. The prototype model has prospects for expansion to all subjects of the Russian Federation. Also, if you add a loading module, it can be launched using supercomputer technologies on a scale of 1: 1 in terms of the number of agents that form an artificial society on the basis of which scenario experiments were carried out.
通常,与难以控制和评估的特殊事件相关的进程是建立在过去事件或历史类似事件的模式之上的,但冠状病毒感染的传播是一种独特的现象,影响了各国和整个世界生活的各个领域。本文是一项有关评估导致COVID-19传播的社会流行病学和经济后果的研究的延续。在此之前,模型的体系结构是考虑到为模拟模型构建此类模块的世界实践而创建的。原型结合了三个功能齐全的模块。在研究的这一阶段,形成了一个原型模型,该模型考虑了相互密切相关的人口、流行病学和经济过程。自2018年以来,该模拟一直在持续运行,涵盖了大流行前、大流行期间和预测期三个时间阶段。实验将于2025年结束,之后将为三个对齐的块生成一套统计指标。原型模式有可能扩展到俄罗斯联邦的所有主体。此外,如果你添加一个加载模块,它可以使用超级计算机技术以1:1的比例启动,以形成一个人工社会的代理数量为基础,在此基础上进行场景实验。
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引用次数: 0
Development of a Simulation model of the Russian Federation for Predicting Indicators in the field of Demography and Labor 开发俄罗斯联邦预测人口和劳动领域指标的模拟模型
IF 4.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.18254/s207751800023565-0
O. Kuznetsova
The article presents a description of the agent-based model being developed. It is a software product. The model imitates the characteristics and interactions within the framework of the socio-economic life of the population of the Russian Federation in its subjects. The main goal of the model is to predict more than 25 indicators in the field of demography and labor that are significant for the management of the region. This determines the relevance of the developed model and the usefulness of its implementation in the process of making public management decisions.
本文描述了正在开发的基于代理的模型。它是一个软件产品。该模式在其主体中模仿了俄罗斯联邦人口社会经济生活框架内的特点和相互作用。该模型的主要目标是预测对该地区管理具有重要意义的人口和劳动力领域的25个以上指标。这决定了所开发模型的相关性及其在公共管理决策过程中实施的有用性。
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引用次数: 0
Modeling Stock Price of Transnational companies using Brownian motion 跨国公司股票价格的布朗运动模型
IF 4.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.18254/s207751800019525-6
Ivan Kucherov
This article is concerned with creating a model for stock price using the Brownian motion. At first, we consider the notion of a discrete time stochastic process, simple random walk, and then move on to its continuous analogue, the Brownian motion. Next we identify the problem with using regular Calculus for stochastic differential equations and derive Ito’s Lemma. After that we derive a model for stock prices and use lognormal distribution to determine its expected value and variance. Finally, we use sample volatility to make predictions for Apple and Gazprom stock prices.
本文讨论的是利用布朗运动建立股票价格模型。首先,我们考虑离散时间随机过程的概念,简单随机游走,然后转向它的连续类比,布朗运动。接下来,我们用正则微积分来识别随机微分方程的问题,并推导出伊藤引理。在此基础上,推导出股票价格的模型,并利用对数正态分布确定其期望值和方差。最后,我们利用样本波动率对苹果公司和俄罗斯天然气工业股份公司的股价进行预测。
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引用次数: 0
期刊
Jasss-The Journal of Artificial Societies and Social Simulation
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